How to Use the USAspending (Federal Spending) MCP in Vercel AI SDK
See real-time US federal spending data in your React UI with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect USAspending (Federal Spending) MCP to Vercel AI SDK
Create your Vinkius account to connect USAspending (Federal Spending) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Track agency budgets and obligations.
Use `get_agency_budgetary_resources` to pull a full picture of an agency's money. This shows both current budgetary resources and outstanding obligations for various fiscal years. When you display this data using the Vercel AI SDK, your users see the numbers populate in real-time—no loading spinners necessary.
Search and filter award details.
You can search through awarded funds with `search_spending_by_award`, allowing you to filter by agency, recipient, or CFDA code. The results are immediate. Displaying these filtered records means your users get instant confirmation of where the federal spending went, right in their web view.
Map out geographic spending patterns.
The `search_spending_by_geography` tool lets you pinpoint exactly how much money is flowing into a state, county, or congressional district. This data is structured for easy visualization. Building this feature with the Vercel AI SDK means your users see those spending maps appear as they type, giving instant feedback.
Set up USAspending (Federal Spending) MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all USAspending (Federal Spending) tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent USAspending (Federal Spending) transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by USAspending. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about USAspending (Federal Spending) MCP in Vercel AI SDK
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